4method_merge — Retrieval Only Task

Is this a manual (human intervention) or automatic run?: automatic
Does this run leverage neural networks?: yes
Does this run leverage proprietary models in any step of the retrieval pipeline?: yes
Does this run leverage open-weight LLMs (> 5B parameters) in any step of the retrieval pipeline?: no
Does this run leverage smaller open-weight language models in any step of the retrieval pipeline?: yes
Was this run padded with results from a baseline run?: no
What would you categorize this run as?: Generation-in-the-loop Pipeline
Please provide a short description of this run: Comprehensive 4-method hybrid retrieval system combining two dense retrievers (Qwen3-0.6B and BGE-small-en-v1.5, both HyDE-enhanced with query:HyDE 0.3:0.7 weighting) and two sparse methods (SPLADE learned sparse representations and BM25 with GPT-4.1-generated keyword expansion). All four retrieval streams produce top-1000 results that are fused using Reciprocal Rank Fusion (RRF, k=60) to leverage diverse relevance signals. Final ranking performed by GPT-4.1-mini using sliding window reranking (window=10, stride=5, 3 passes) with enriched document context including title, URL, and segment content for improved relevance assessment.
Please give this run a priority for inclusion in manual assessments.: 2